When we ran our experiments on the CPU of the Raspberry Pi 4 without the Coral USB accelerator, the application could process between 0.5 and 1.5 frames per second. Therefore, it allows high inference speed for image classification and object detection using neural networks. It can perform 4 trillion operations per second. It currently only supports pre-compiled TensorFlow Lite models. The accelerator contains an edge TPU (Tensor Processing Unit) coprocessor which is optimized to process matrix operations. The Coral USB accelerator connected to a Raspberry Pi 4 is the heart of the setup.
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